Triple

T23310478
Position Surface form Disambiguated ID Type / Status
Subject Nun danket alle Gott E590568 entity
Predicate placeOfTextAuthorActivity P36711 FINISHED
Object Eilenburg NE NERFINISHED

How this triple was built (3 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Eilenburg | Statement: [Nun danket alle Gott, placeOfTextAuthorActivity, Eilenburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eilenburg
Context triple: [Nun danket alle Gott, placeOfTextAuthorActivity, Eilenburg]
  • A. Eilenburg chosen
    Eilenburg is a small historic town in the German state of Saxony, situated on the Mulde River northeast of Leipzig.
  • B. Riedenburg
    Riedenburg is a small Bavarian town in southern Germany known for its scenic location in the Altmühl Valley and its historic castles.
  • C. Oranienburg
    Oranienburg is a town in Brandenburg, Germany, historically known as the site of the Nazi Sachsenhausen concentration camp.
  • D. Wurzen
    Wurzen is a historic town in the German state of Saxony, known for its medieval architecture and location on the river Mulde east of Leipzig.
  • E. Lankwitz
    Lankwitz is a residential locality in the southwestern part of Berlin, known for its quiet neighborhoods, green spaces, and mix of historic and modern architecture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: placeOfTextAuthorActivity
Context triple: [Nun danket alle Gott, placeOfTextAuthorActivity, Eilenburg]
  • A. literaryActivity
    Indicates involvement in creating, studying, or engaging with written works such as literature, poetry, or scholarly texts.
  • B. positionOfAuthor
    Indicates the spatial or organizational location associated with an author in relation to some reference context.
  • C. traditionalPlaceOfWriting
    Indicates the customary or historically typical location where a particular text, document, or type of writing is produced or composed.
  • D. placeAssociatedWithAuthor chosen
    Indicates a relationship where a place is connected to an author, such as by birth, residence, work, or significant activity.
  • E. textLocation
    Indicates the spatial or positional relationship of a piece of text within a larger document, page, or layout.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e25d1d32188190948eb76909d1dcc3 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1972acad08190bb56541b822555cd completed April 29, 2026, 5:29 a.m.
PD Predicate disambiguation batch_69effcf8ca2c8190887d4f4656617d21 completed April 28, 2026, 12:19 a.m.
Created at: April 17, 2026, 5:05 p.m.